Examples of Mainly Corporate Funded Think Tanks: Cato Institute Founded in 1977 the Cato Institutes 1998 budget made up US$ 11 million. Its funding consists of corporate and private donations (especially from corporations and executives in the highly regulated industries of financial services, telecommunications and pharmaceuticals industries) and sales of publications. Catos corporate donors include tobacco firms: Philip Morris (Rupert Murdoch sits on Philip Morris board of directors) and R.J. Reynolds. Financial firms: American Express, Chase Manhattan Bank, Chemical Bank, Citicorp/Citibank, Commonwealth Fund, Prudential Securities and Salomon Brothers. Energy conglomerates: Chevron Companies, Exxon Company, Shell Oil Company and Tenneco Gas, as well as the American Petroleum Institute, Amoco Foundation and Atlantic Richfield Foundation. Furthermore the Cato Institute is funded by pharmaceutical firms: Eli Lilly & Company, Merck & Company and Pfizer, Inc., foundations, like Koch, Lambe and Sarah Scaife and companies from the telecommunications sector: Bell Atlantic Network Services, BellSouth Corporation, Microsoft, NYNEX Corporation, Sun Microsystems and Viacom.

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Expert system Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.

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